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Ivan Coronado

Showing results (1-10 of 10) with videos related to

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Multiple Sclerosis (Houndmills, Basingstoke, England)|May 23, 2020
Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosisIvan Coronado, Refaat E Gabr, Ponnada A Narayana
Journal of Magnetic Resonance Imaging : JMRI|February 28, 2019
Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networksSheeba J Sujit, Ivan Coronado, Arash Kamali, et al.
Computer Methods and Programs in Biomedicine|September 1, 2021
Deep learning enabled brain shunt valve identification using mobile phonesSheeba J Sujit, Eliana Bonfante, Azin Aein, et al.
Magnetic Resonance Imaging|November 1, 2019
Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learningPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 19, 2019
Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set SizePonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Radiology|December 18, 2019
Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRIPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural NetworksIvan Coronado, Rania Abdelkhaleq, Juntao Yan, et al.
Journal of Clinical Medicine|December 23, 2022
Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus ImagingSamiksha Pachade, Ivan Coronado, Rania Abdelkhaleq, et al.
Scientific Reports|September 15, 2023
Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networksIvan Coronado, Samiksha Pachade, Emanuele Trucco, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|June 14, 2019
Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale studyRefaat E Gabr, Ivan Coronado, Melvin Robinson, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Multiple Sclerosis (Houndmills, Basingstoke, England)|May 23, 2020
Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosisIvan Coronado, Refaat E Gabr, Ponnada A Narayana
Journal of Magnetic Resonance Imaging : JMRI|February 28, 2019
Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networksSheeba J Sujit, Ivan Coronado, Arash Kamali, et al.
Computer Methods and Programs in Biomedicine|September 1, 2021
Deep learning enabled brain shunt valve identification using mobile phonesSheeba J Sujit, Eliana Bonfante, Azin Aein, et al.
Magnetic Resonance Imaging|November 1, 2019
Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learningPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 19, 2019
Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set SizePonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Radiology|December 18, 2019
Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRIPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural NetworksIvan Coronado, Rania Abdelkhaleq, Juntao Yan, et al.
Journal of Clinical Medicine|December 23, 2022
Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus ImagingSamiksha Pachade, Ivan Coronado, Rania Abdelkhaleq, et al.
Scientific Reports|September 15, 2023
Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networksIvan Coronado, Samiksha Pachade, Emanuele Trucco, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|June 14, 2019
Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale studyRefaat E Gabr, Ivan Coronado, Melvin Robinson, et al.
Pageof 1